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Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries.

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Title: Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries.
Authors: Gouda, Mohamed Zakaria1 (AUTHOR) mohamed.gouda@um6p.ma, Nagihi, El Mehdi2 (AUTHOR) elmehdi.nagihi@emines.um6p.ma, Khiari, Lotfi1,3 (AUTHOR) Jacques.Gallichand@fsaa.ulaval.ca, Gallichand, Jacques3 (AUTHOR), Ismail, Mahmoud2 (AUTHOR) mahmoud.ismail@emines.um6p.ma
Source: Agronomy. Aug2021, Vol. 11 Issue 8, p1550. 1p.
Database: Academic Search Ultimate
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  Data: Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries.
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  Data: <searchLink fieldCode="JN" term="%22Agronomy%22">Agronomy</searchLink>. Aug2021, Vol. 11 Issue 8, p1550. 1p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=152103813
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        Value: 10.3390/agronomy11081550
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      – Code: eng
        Text: English
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        StartPage: 1550
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      – TitleFull: Artificial Intelligence-Based Prediction of Key Textural Properties from LUCAS and ICRAF Spectral Libraries.
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 11
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              Value: 8
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